Overview

Brought to you by YData

Dataset statistics

Number of variables21
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory174.3 B

Variable types

Numeric21

Alerts

Almacén is highly overall correlated with Cliente_1 and 7 other fieldsHigh correlation
Cliente_1 is highly overall correlated with Almacén and 9 other fieldsHigh correlation
Cliente_10 is highly overall correlated with Cliente_1 and 10 other fieldsHigh correlation
Cliente_11 is highly overall correlated with Almacén and 9 other fieldsHigh correlation
Cliente_12 is highly overall correlated with Cliente_1 and 8 other fieldsHigh correlation
Cliente_13 is highly overall correlated with Cliente_10 and 4 other fieldsHigh correlation
Cliente_14 is highly overall correlated with Cliente_1 and 7 other fieldsHigh correlation
Cliente_15 is highly overall correlated with Cliente_10 and 4 other fieldsHigh correlation
Cliente_16 is highly overall correlated with Almacén and 10 other fieldsHigh correlation
Cliente_17 is highly overall correlated with Almacén and 7 other fieldsHigh correlation
Cliente_18 is highly overall correlated with Cliente_10 and 4 other fieldsHigh correlation
Cliente_19 is highly overall correlated with Almacén and 6 other fieldsHigh correlation
Cliente_2 is highly overall correlated with Cliente_13 and 3 other fieldsHigh correlation
Cliente_20 is highly overall correlated with Cliente_8High correlation
Cliente_3 is highly overall correlated with Cliente_13 and 3 other fieldsHigh correlation
Cliente_4 is highly overall correlated with Almacén and 9 other fieldsHigh correlation
Cliente_6 is highly overall correlated with Almacén and 6 other fieldsHigh correlation
Cliente_7 is highly overall correlated with Cliente_13 and 5 other fieldsHigh correlation
Cliente_8 is highly overall correlated with Cliente_15 and 4 other fieldsHigh correlation
Cliente_9 is highly overall correlated with Almacén and 9 other fieldsHigh correlation
Cliente_1 has unique values Unique
Cliente_2 has unique values Unique
Cliente_4 has unique values Unique
Cliente_11 has unique values Unique
Cliente_12 has unique values Unique
Cliente_18 has unique values Unique
Cliente_19 has unique values Unique
Cliente_20 has unique values Unique
Almacén has unique values Unique
Cliente_1 has 1 (4.8%) zeros Zeros
Cliente_2 has 1 (4.8%) zeros Zeros
Cliente_3 has 4 (19.0%) zeros Zeros
Cliente_4 has 1 (4.8%) zeros Zeros
Cliente_5 has 5 (23.8%) zeros Zeros
Cliente_6 has 2 (9.5%) zeros Zeros
Cliente_7 has 6 (28.6%) zeros Zeros
Cliente_8 has 2 (9.5%) zeros Zeros
Cliente_9 has 2 (9.5%) zeros Zeros
Cliente_10 has 3 (14.3%) zeros Zeros
Cliente_11 has 1 (4.8%) zeros Zeros
Cliente_12 has 1 (4.8%) zeros Zeros
Cliente_13 has 2 (9.5%) zeros Zeros
Cliente_14 has 6 (28.6%) zeros Zeros
Cliente_15 has 3 (14.3%) zeros Zeros
Cliente_16 has 3 (14.3%) zeros Zeros
Cliente_17 has 2 (9.5%) zeros Zeros
Cliente_18 has 1 (4.8%) zeros Zeros
Cliente_19 has 1 (4.8%) zeros Zeros
Cliente_20 has 1 (4.8%) zeros Zeros
Almacén has 1 (4.8%) zeros Zeros

Reproduction

Analysis started2024-11-13 17:58:34.012064
Analysis finished2024-11-13 17:59:13.718673
Duration39.71 seconds
Software versionydata-profiling vv4.11.0
Download configurationconfig.json

Variables

Cliente_1
Real number (ℝ)

High correlation  Unique  Zeros 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.48381
Minimum0
Maximum23.855
Zeros1
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:59:13.788596image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.5433333
Q15.0983333
median10.028333
Q315.838333
95-th percentile23.7
Maximum23.855
Range23.855
Interquartile range (IQR)10.74

Descriptive statistics

Standard deviation7.3682384
Coefficient of variation (CV)0.64161969
Kurtosis-1.1245777
Mean11.48381
Median Absolute Deviation (MAD)5.7033333
Skewness0.26669772
Sum241.16
Variance54.290936
MonotonicityNot monotonic
2024-11-13T18:59:13.931781image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 1
 
4.8%
15.73166667 1
 
4.8%
19.65166667 1
 
4.8%
2.543333333 1
 
4.8%
7.55 1
 
4.8%
3.76 1
 
4.8%
15.83833333 1
 
4.8%
22.38833333 1
 
4.8%
8.563333333 1
 
4.8%
7.185 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
0 1
4.8%
2.543333333 1
4.8%
2.943333333 1
4.8%
3.76 1
4.8%
4.903333333 1
4.8%
5.098333333 1
4.8%
6.905 1
4.8%
7.185 1
4.8%
7.55 1
4.8%
8.563333333 1
4.8%
ValueCountFrequency (%)
23.855 1
4.8%
23.7 1
4.8%
22.38833333 1
4.8%
19.65166667 1
4.8%
17.525 1
4.8%
15.83833333 1
4.8%
15.73166667 1
4.8%
15.54833333 1
4.8%
15.105 1
4.8%
12.33666667 1
4.8%

Cliente_2
Real number (ℝ)

High correlation  Unique  Zeros 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.100794
Minimum0
Maximum26.153333
Zeros1
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:59:14.065106image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.2483333
Q114.023333
median15.798333
Q320.061667
95-th percentile21.908333
Maximum26.153333
Range26.153333
Interquartile range (IQR)6.0383333

Descriptive statistics

Standard deviation6.5757219
Coefficient of variation (CV)0.43545539
Kurtosis0.76209701
Mean15.100794
Median Absolute Deviation (MAD)2.3716667
Skewness-0.92083192
Sum317.11667
Variance43.240119
MonotonicityNot monotonic
2024-11-13T18:59:14.199679image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
15.73166667 1
 
4.8%
0 1
 
4.8%
7.505 1
 
4.8%
15.79833333 1
 
4.8%
17.24166667 1
 
4.8%
17.31666667 1
 
4.8%
1.248333333 1
 
4.8%
20.7 1
 
4.8%
21.325 1
 
4.8%
13.50333333 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
0 1
4.8%
1.248333333 1
4.8%
6.695 1
4.8%
7.505 1
4.8%
13.50333333 1
4.8%
14.02333333 1
4.8%
14.235 1
4.8%
14.42333333 1
4.8%
14.80333333 1
4.8%
15.73166667 1
4.8%
ValueCountFrequency (%)
26.15333333 1
4.8%
21.90833333 1
4.8%
21.325 1
4.8%
20.7 1
4.8%
20.38166667 1
4.8%
20.06166667 1
4.8%
18.17 1
4.8%
17.31666667 1
4.8%
17.24166667 1
4.8%
15.89166667 1
4.8%

Cliente_3
Real number (ℝ)

High correlation  Zeros 

Distinct18
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.506349
Minimum0
Maximum27.531667
Zeros4
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:59:14.316641image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111.541667
median17.378333
Q319.651667
95-th percentile22.076667
Maximum27.531667
Range27.531667
Interquartile range (IQR)8.11

Descriptive statistics

Standard deviation8.2396675
Coefficient of variation (CV)0.56800422
Kurtosis-0.31632524
Mean14.506349
Median Absolute Deviation (MAD)3.0266667
Skewness-0.86709908
Sum304.63333
Variance67.892121
MonotonicityNot monotonic
2024-11-13T18:59:14.427743image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 4
19.0%
19.65166667 1
 
4.8%
7.505 1
 
4.8%
19.285 1
 
4.8%
22.07666667 1
 
4.8%
19.98166667 1
 
4.8%
17.37833333 1
 
4.8%
19.54833333 1
 
4.8%
15.8 1
 
4.8%
11.54166667 1
 
4.8%
Other values (8) 8
38.1%
ValueCountFrequency (%)
0 4
19.0%
7.505 1
 
4.8%
11.54166667 1
 
4.8%
13.02333333 1
 
4.8%
15.8 1
 
4.8%
16.18166667 1
 
4.8%
17.27 1
 
4.8%
17.37833333 1
 
4.8%
18.08 1
 
4.8%
18.5 1
 
4.8%
ValueCountFrequency (%)
27.53166667 1
4.8%
22.07666667 1
4.8%
20.87333333 1
4.8%
20.405 1
4.8%
19.98166667 1
4.8%
19.65166667 1
4.8%
19.54833333 1
4.8%
19.285 1
4.8%
18.5 1
4.8%
18.08 1
4.8%

Cliente_4
Real number (ℝ)

High correlation  Unique  Zeros 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.542381
Minimum0
Maximum24.328333
Zeros1
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:59:14.547981image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.8783333
Q16.1816667
median10.501667
Q316.546667
95-th percentile23.03
Maximum24.328333
Range24.328333
Interquartile range (IQR)10.365

Descriptive statistics

Standard deviation7.5056164
Coefficient of variation (CV)0.65026587
Kurtosis-1.1569778
Mean11.542381
Median Absolute Deviation (MAD)6.02
Skewness0.21735637
Sum242.39
Variance56.334277
MonotonicityNot monotonic
2024-11-13T18:59:14.699921image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2.543333333 1
 
4.8%
15.79833333 1
 
4.8%
19.285 1
 
4.8%
0 1
 
4.8%
8.533333333 1
 
4.8%
1.878333333 1
 
4.8%
16.52166667 1
 
4.8%
22.86333333 1
 
4.8%
7.165 1
 
4.8%
7.013333333 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
0 1
4.8%
1.878333333 1
4.8%
2.465 1
4.8%
2.543333333 1
4.8%
5.986666667 1
4.8%
6.181666667 1
4.8%
7.013333333 1
4.8%
7.165 1
4.8%
7.4 1
4.8%
8.533333333 1
4.8%
ValueCountFrequency (%)
24.32833333 1
4.8%
23.03 1
4.8%
22.86333333 1
4.8%
19.285 1
4.8%
18 1
4.8%
16.54666667 1
4.8%
16.52166667 1
4.8%
15.79833333 1
4.8%
15.58 1
4.8%
10.76833333 1
4.8%

Cliente_5
Real number (ℝ)

Zeros 

Distinct17
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.6907937
Minimum0
Maximum28.093333
Zeros5
Zeros (%)23.8%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:59:14.822998image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.12
median8.7933333
Q313.871667
95-th percentile22.62
Maximum28.093333
Range28.093333
Interquartile range (IQR)8.7516667

Descriptive statistics

Standard deviation7.7815687
Coefficient of variation (CV)0.8029857
Kurtosis0.1544189
Mean9.6907937
Median Absolute Deviation (MAD)5.0783333
Skewness0.61096482
Sum203.50667
Variance60.552812
MonotonicityNot monotonic
2024-11-13T18:59:14.936185image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 5
23.8%
7.55 1
 
4.8%
17.24166667 1
 
4.8%
8.533333333 1
 
4.8%
9.711666667 1
 
4.8%
11.05833333 1
 
4.8%
5.12 1
 
4.8%
8.793333333 1
 
4.8%
18.555 1
 
4.8%
7.391666667 1
 
4.8%
Other values (7) 7
33.3%
ValueCountFrequency (%)
0 5
23.8%
5.12 1
 
4.8%
7.391666667 1
 
4.8%
7.55 1
 
4.8%
7.938333333 1
 
4.8%
8.533333333 1
 
4.8%
8.793333333 1
 
4.8%
9.711666667 1
 
4.8%
9.998333333 1
 
4.8%
10.73833333 1
 
4.8%
ValueCountFrequency (%)
28.09333333 1
4.8%
22.62 1
4.8%
18.555 1
4.8%
17.24166667 1
4.8%
16.29166667 1
4.8%
13.87166667 1
4.8%
11.05833333 1
4.8%
10.73833333 1
4.8%
9.998333333 1
4.8%
9.711666667 1
4.8%

Cliente_6
Real number (ℝ)

High correlation  Zeros 

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.801111
Minimum0
Maximum23.876667
Zeros2
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:59:15.051042image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.0333333
median9.7116667
Q317.068333
95-th percentile22.668333
Maximum23.876667
Range23.876667
Interquartile range (IQR)11.035

Descriptive statistics

Standard deviation7.467207
Coefficient of variation (CV)0.69133693
Kurtosis-1.0879941
Mean10.801111
Median Absolute Deviation (MAD)5.9783333
Skewness0.27835704
Sum226.82333
Variance55.75918
MonotonicityNot monotonic
2024-11-13T18:59:15.174929image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 2
 
9.5%
3.76 1
 
4.8%
17.31666667 1
 
4.8%
1.878333333 1
 
4.8%
9.711666667 1
 
4.8%
17.06833333 1
 
4.8%
22.66833333 1
 
4.8%
6.033333333 1
 
4.8%
8.281666667 1
 
4.8%
6.233333333 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
0 2
9.5%
1.878333333 1
4.8%
3.733333333 1
4.8%
3.76 1
4.8%
6.033333333 1
4.8%
6.233333333 1
4.8%
6.268333333 1
4.8%
7.038333333 1
4.8%
8.281666667 1
4.8%
9.711666667 1
4.8%
ValueCountFrequency (%)
23.87666667 1
4.8%
22.66833333 1
4.8%
21.89833333 1
4.8%
17.80666667 1
4.8%
17.31666667 1
4.8%
17.06833333 1
4.8%
16.24 1
4.8%
15.38666667 1
4.8%
11.315 1
4.8%
10.30833333 1
4.8%

Cliente_7
Real number (ℝ)

High correlation  Zeros 

Distinct16
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.923889
Minimum0
Maximum26.281667
Zeros6
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:59:15.286903image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median14.55
Q318.298333
95-th percentile21.193333
Maximum26.281667
Range26.281667
Interquartile range (IQR)18.298333

Descriptive statistics

Standard deviation9.0210392
Coefficient of variation (CV)0.75655177
Kurtosis-1.4092402
Mean11.923889
Median Absolute Deviation (MAD)6.2766667
Skewness-0.3704271
Sum250.40167
Variance81.379149
MonotonicityNot monotonic
2024-11-13T18:59:15.407207image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 6
28.6%
15.83833333 1
 
4.8%
1.248333333 1
 
4.8%
16.52166667 1
 
4.8%
17.06833333 1
 
4.8%
20.82666667 1
 
4.8%
20.98833333 1
 
4.8%
13.63166667 1
 
4.8%
18.29833333 1
 
4.8%
14.55 1
 
4.8%
Other values (6) 6
28.6%
ValueCountFrequency (%)
0 6
28.6%
1.248333333 1
 
4.8%
13.63166667 1
 
4.8%
14.15 1
 
4.8%
14.36333333 1
 
4.8%
14.55 1
 
4.8%
14.93166667 1
 
4.8%
15.83833333 1
 
4.8%
16.52166667 1
 
4.8%
17.06833333 1
 
4.8%
ValueCountFrequency (%)
26.28166667 1
4.8%
21.19333333 1
4.8%
20.98833333 1
4.8%
20.82666667 1
4.8%
20.51 1
4.8%
18.29833333 1
4.8%
17.06833333 1
4.8%
16.52166667 1
4.8%
15.83833333 1
4.8%
14.93166667 1
4.8%

Cliente_8
Real number (ℝ)

High correlation  Zeros 

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.555317
Minimum0
Maximum30.101667
Zeros2
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:59:15.518986image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116.505
median20.7
Q322.668333
95-th percentile25.133333
Maximum30.101667
Range30.101667
Interquartile range (IQR)6.1633333

Descriptive statistics

Standard deviation7.3528078
Coefficient of variation (CV)0.39626419
Kurtosis2.572055
Mean18.555317
Median Absolute Deviation (MAD)2.32
Skewness-1.5317695
Sum389.66167
Variance54.063783
MonotonicityNot monotonic
2024-11-13T18:59:15.634506image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 2
 
9.5%
22.38833333 1
 
4.8%
22.07666667 1
 
4.8%
20.7 1
 
4.8%
22.86333333 1
 
4.8%
22.66833333 1
 
4.8%
20.82666667 1
 
4.8%
25.13333333 1
 
4.8%
16.505 1
 
4.8%
20.51 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
0 2
9.5%
10.55833333 1
4.8%
15.50333333 1
4.8%
15.53333333 1
4.8%
16.505 1
4.8%
18.23166667 1
4.8%
18.38 1
4.8%
20.25 1
4.8%
20.51 1
4.8%
20.7 1
4.8%
ValueCountFrequency (%)
30.10166667 1
4.8%
25.13333333 1
4.8%
23.61833333 1
4.8%
22.96333333 1
4.8%
22.86333333 1
4.8%
22.66833333 1
4.8%
22.38833333 1
4.8%
22.07666667 1
4.8%
20.85 1
4.8%
20.82666667 1
4.8%

Cliente_9
Real number (ℝ)

High correlation  Zeros 

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.257143
Minimum0
Maximum25.875
Zeros2
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:59:15.750955image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.165
median13.025
Q319.981667
95-th percentile25.266667
Maximum25.875
Range25.875
Interquartile range (IQR)12.816667

Descriptive statistics

Standard deviation8.1899321
Coefficient of variation (CV)0.61777505
Kurtosis-1.0573609
Mean13.257143
Median Absolute Deviation (MAD)6.5216667
Skewness-0.023163883
Sum278.4
Variance67.074988
MonotonicityNot monotonic
2024-11-13T18:59:15.872453image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 2
 
9.5%
8.563333333 1
 
4.8%
19.98166667 1
 
4.8%
21.325 1
 
4.8%
7.165 1
 
4.8%
6.033333333 1
 
4.8%
20.98833333 1
 
4.8%
25.13333333 1
 
4.8%
13.97666667 1
 
4.8%
6.815 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
0 2
9.5%
1.841666667 1
4.8%
6.033333333 1
4.8%
6.815 1
4.8%
7.165 1
4.8%
8.563333333 1
4.8%
9.086666667 1
4.8%
9.428333333 1
4.8%
12.04833333 1
4.8%
13.025 1
4.8%
ValueCountFrequency (%)
25.875 1
4.8%
25.26666667 1
4.8%
25.13333333 1
4.8%
21.325 1
4.8%
20.98833333 1
4.8%
19.98166667 1
4.8%
19.54666667 1
4.8%
17.12666667 1
4.8%
15.17333333 1
4.8%
13.97666667 1
4.8%

Cliente_10
Real number (ℝ)

High correlation  Zeros 

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.199206
Minimum0
Maximum26.283333
Zeros3
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:59:15.993706image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.185
median11.058333
Q313.976667
95-th percentile20.208333
Maximum26.283333
Range26.283333
Interquartile range (IQR)6.7916667

Descriptive statistics

Standard deviation6.7507688
Coefficient of variation (CV)0.60278993
Kurtosis0.15901514
Mean11.199206
Median Absolute Deviation (MAD)3.8733333
Skewness0.080886837
Sum235.18333
Variance45.57288
MonotonicityNot monotonic
2024-11-13T18:59:16.143051image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 3
 
14.3%
13.50333333 1
 
4.8%
7.185 1
 
4.8%
17.37833333 1
 
4.8%
7.013333333 1
 
4.8%
8.281666667 1
 
4.8%
11.05833333 1
 
4.8%
13.63166667 1
 
4.8%
16.505 1
 
4.8%
13.97666667 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
0 3
14.3%
5.411666667 1
 
4.8%
7.013333333 1
 
4.8%
7.185 1
 
4.8%
8.281666667 1
 
4.8%
9.693333333 1
 
4.8%
10.275 1
 
4.8%
10.88666667 1
 
4.8%
11.05833333 1
 
4.8%
11.38833333 1
 
4.8%
ValueCountFrequency (%)
26.28333333 1
4.8%
20.20833333 1
4.8%
18.62333333 1
4.8%
17.37833333 1
4.8%
16.505 1
4.8%
13.97666667 1
4.8%
13.88 1
4.8%
13.63166667 1
4.8%
13.50333333 1
4.8%
11.38833333 1
4.8%

Cliente_11
Real number (ℝ)

High correlation  Unique  Zeros 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.377619
Minimum0
Maximum23.973333
Zeros1
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:59:16.256844image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.6416667
Q15.9866667
median9.6933333
Q318.17
95-th percentile21.121667
Maximum23.973333
Range23.973333
Interquartile range (IQR)12.183333

Descriptive statistics

Standard deviation6.8743314
Coefficient of variation (CV)0.60419771
Kurtosis-1.1569612
Mean11.377619
Median Absolute Deviation (MAD)4.79
Skewness0.29852971
Sum238.93
Variance47.256432
MonotonicityNot monotonic
2024-11-13T18:59:16.380615image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
4.903333333 1
 
4.8%
18.17 1
 
4.8%
19.54833333 1
 
4.8%
5.986666667 1
 
4.8%
5.12 1
 
4.8%
6.233333333 1
 
4.8%
18.29833333 1
 
4.8%
20.51 1
 
4.8%
6.815 1
 
4.8%
9.693333333 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
0 1
4.8%
3.641666667 1
4.8%
4.903333333 1
4.8%
5.12 1
4.8%
5.476666667 1
4.8%
5.986666667 1
4.8%
6.233333333 1
4.8%
6.815 1
4.8%
6.99 1
4.8%
7.295 1
4.8%
ValueCountFrequency (%)
23.97333333 1
4.8%
21.12166667 1
4.8%
20.51 1
4.8%
19.54833333 1
4.8%
18.29833333 1
4.8%
18.17 1
4.8%
14.79333333 1
4.8%
14.58666667 1
4.8%
13.4 1
4.8%
12.37333333 1
4.8%

Cliente_12
Real number (ℝ)

High correlation  Unique  Zeros 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.020794
Minimum0
Maximum28.981667
Zeros1
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:59:16.495455image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.4116667
Q18.7933333
median10.501667
Q314.55
95-th percentile18.24
Maximum28.981667
Range28.981667
Interquartile range (IQR)5.7566667

Descriptive statistics

Standard deviation5.8144322
Coefficient of variation (CV)0.48369786
Kurtosis2.9914116
Mean12.020794
Median Absolute Deviation (MAD)3.14
Skewness0.88114541
Sum252.43667
Variance33.807622
MonotonicityNot monotonic
2024-11-13T18:59:16.720452image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
10.02833333 1
 
4.8%
14.42333333 1
 
4.8%
15.8 1
 
4.8%
10.50166667 1
 
4.8%
8.793333333 1
 
4.8%
10.30833333 1
 
4.8%
14.55 1
 
4.8%
15.50333333 1
 
4.8%
12.04833333 1
 
4.8%
5.411666667 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
0 1
4.8%
5.411666667 1
4.8%
7.295 1
4.8%
7.765 1
4.8%
8.22 1
4.8%
8.793333333 1
4.8%
9.49 1
4.8%
10.02833333 1
4.8%
10.30833333 1
4.8%
10.435 1
4.8%
ValueCountFrequency (%)
28.98166667 1
4.8%
18.24 1
4.8%
18.02666667 1
4.8%
15.8 1
4.8%
15.50333333 1
4.8%
14.55 1
4.8%
14.42333333 1
4.8%
13.64166667 1
4.8%
12.97333333 1
4.8%
12.04833333 1
4.8%

Cliente_13
Real number (ℝ)

High correlation  Zeros 

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.166587
Minimum0
Maximum23.763333
Zeros2
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:59:16.834667image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110.768333
median13.838333
Q317.495
95-th percentile20.85
Maximum23.763333
Range23.763333
Interquartile range (IQR)6.7266667

Descriptive statistics

Standard deviation6.0537642
Coefficient of variation (CV)0.45978233
Kurtosis0.63639269
Mean13.166587
Median Absolute Deviation (MAD)3.5633333
Skewness-0.65269296
Sum276.49833
Variance36.648061
MonotonicityNot monotonic
2024-11-13T18:59:16.947305image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 2
 
9.5%
12.33666667 1
 
4.8%
11.54166667 1
 
4.8%
6.695 1
 
4.8%
10.76833333 1
 
4.8%
18.555 1
 
4.8%
11.315 1
 
4.8%
20.85 1
 
4.8%
15.17333333 1
 
4.8%
10.275 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
0 2
9.5%
6.695 1
4.8%
8.76 1
4.8%
10.275 1
4.8%
10.76833333 1
4.8%
11.315 1
4.8%
11.54166667 1
4.8%
12.33666667 1
4.8%
12.97333333 1
4.8%
13.83833333 1
4.8%
ValueCountFrequency (%)
23.76333333 1
4.8%
20.85 1
4.8%
19.335 1
4.8%
19.16333333 1
4.8%
18.555 1
4.8%
17.495 1
4.8%
15.17333333 1
4.8%
15.12 1
4.8%
14.58666667 1
4.8%
13.95333333 1
4.8%

Cliente_14
Real number (ℝ)

High correlation  Zeros 

Distinct16
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.6162698
Minimum0
Maximum25.035
Zeros6
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:59:17.055539image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7.3916667
Q313.838333
95-th percentile22.341667
Maximum25.035
Range25.035
Interquartile range (IQR)13.838333

Descriptive statistics

Standard deviation7.8220588
Coefficient of variation (CV)0.90782426
Kurtosis-0.61555968
Mean8.6162698
Median Absolute Deviation (MAD)7.3916667
Skewness0.597456
Sum180.94167
Variance61.184603
MonotonicityNot monotonic
2024-11-13T18:59:17.176325image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 6
28.6%
5.098333333 1
 
4.8%
17.27 1
 
4.8%
15.89166667 1
 
4.8%
6.181666667 1
 
4.8%
7.391666667 1
 
4.8%
7.038333333 1
 
4.8%
18.23166667 1
 
4.8%
9.086666667 1
 
4.8%
3.641666667 1
 
4.8%
Other values (6) 6
28.6%
ValueCountFrequency (%)
0 6
28.6%
3.641666667 1
 
4.8%
5.098333333 1
 
4.8%
6.181666667 1
 
4.8%
7.038333333 1
 
4.8%
7.391666667 1
 
4.8%
7.765 1
 
4.8%
8.538333333 1
 
4.8%
9.086666667 1
 
4.8%
13.59166667 1
 
4.8%
ValueCountFrequency (%)
25.035 1
4.8%
22.34166667 1
4.8%
18.23166667 1
4.8%
17.27 1
4.8%
15.89166667 1
4.8%
13.83833333 1
4.8%
13.59166667 1
4.8%
9.086666667 1
4.8%
8.538333333 1
4.8%
7.765 1
4.8%

Cliente_15
Real number (ℝ)

High correlation  Zeros 

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.127698
Minimum0
Maximum32.211667
Zeros3
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:59:17.281032image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110.558333
median17.495
Q319.73
95-th percentile22.358333
Maximum32.211667
Range32.211667
Interquartile range (IQR)9.1716667

Descriptive statistics

Standard deviation7.9009469
Coefficient of variation (CV)0.52228348
Kurtosis0.81812208
Mean15.127698
Median Absolute Deviation (MAD)2.7116667
Skewness-0.5258796
Sum317.68167
Variance62.424962
MonotonicityNot monotonic
2024-11-13T18:59:17.392540image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 3
 
14.3%
20.06166667 1
 
4.8%
17.525 1
 
4.8%
20.405 1
 
4.8%
18 1
 
4.8%
16.29166667 1
 
4.8%
17.80666667 1
 
4.8%
10.55833333 1
 
4.8%
19.54666667 1
 
4.8%
13.88 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
0 3
14.3%
10.115 1
 
4.8%
10.435 1
 
4.8%
10.55833333 1
 
4.8%
13.88 1
 
4.8%
14.79333333 1
 
4.8%
16.26166667 1
 
4.8%
16.29166667 1
 
4.8%
17.495 1
 
4.8%
17.525 1
 
4.8%
ValueCountFrequency (%)
32.21166667 1
4.8%
22.35833333 1
4.8%
20.405 1
4.8%
20.20666667 1
4.8%
20.06166667 1
4.8%
19.73 1
4.8%
19.54666667 1
4.8%
18 1
4.8%
17.80666667 1
4.8%
17.525 1
4.8%

Cliente_16
Real number (ℝ)

High correlation  Zeros 

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.610714
Minimum0
Maximum24.42
Zeros3
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:59:17.503703image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.7333333
median9.4283333
Q316.261667
95-th percentile23.55
Maximum24.42
Range24.42
Interquartile range (IQR)12.528333

Descriptive statistics

Standard deviation7.5319201
Coefficient of variation (CV)0.709841
Kurtosis-0.91426353
Mean10.610714
Median Absolute Deviation (MAD)6.485
Skewness0.17911262
Sum222.825
Variance56.72982
MonotonicityNot monotonic
2024-11-13T18:59:17.620017image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 3
 
14.3%
14.02333333 1
 
4.8%
2.943333333 1
 
4.8%
18.5 1
 
4.8%
2.465 1
 
4.8%
3.733333333 1
 
4.8%
10.73833333 1
 
4.8%
14.15 1
 
4.8%
18.38 1
 
4.8%
9.428333333 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
0 3
14.3%
2.465 1
 
4.8%
2.943333333 1
 
4.8%
3.733333333 1
 
4.8%
6.99 1
 
4.8%
8.22 1
 
4.8%
8.408333333 1
 
4.8%
8.76 1
 
4.8%
9.428333333 1
 
4.8%
10.73833333 1
 
4.8%
ValueCountFrequency (%)
24.42 1
4.8%
23.55 1
4.8%
18.5 1
4.8%
18.38 1
4.8%
17.05166667 1
4.8%
16.26166667 1
4.8%
14.80166667 1
4.8%
14.15 1
4.8%
14.02333333 1
4.8%
10.73833333 1
4.8%

Cliente_17
Real number (ℝ)

High correlation  Zeros 

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.975635
Minimum0
Maximum30.111667
Zeros2
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:59:17.731607image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q113.4
median18.026667
Q323.763333
95-th percentile29.705
Maximum30.111667
Range30.111667
Interquartile range (IQR)10.363333

Descriptive statistics

Standard deviation8.377968
Coefficient of variation (CV)0.46607355
Kurtosis0.28174212
Mean17.975635
Median Absolute Deviation (MAD)5.0016667
Skewness-0.65312333
Sum377.48833
Variance70.190348
MonotonicityNot monotonic
2024-11-13T18:59:17.862370image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 2
 
9.5%
15.54833333 1
 
4.8%
27.53166667 1
 
4.8%
26.15333333 1
 
4.8%
16.54666667 1
 
4.8%
9.998333333 1
 
4.8%
26.28166667 1
 
4.8%
16.24 1
 
4.8%
13.025 1
 
4.8%
18.62333333 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
0 2
9.5%
9.998333333 1
4.8%
10.94833333 1
4.8%
13.025 1
4.8%
13.4 1
4.8%
15.54833333 1
4.8%
16.24 1
4.8%
16.54666667 1
4.8%
17.05166667 1
4.8%
18.02666667 1
4.8%
ValueCountFrequency (%)
30.11166667 1
4.8%
29.705 1
4.8%
27.53166667 1
4.8%
26.28166667 1
4.8%
26.15333333 1
4.8%
23.76333333 1
4.8%
22.96333333 1
4.8%
21.36333333 1
4.8%
20.20666667 1
4.8%
18.62333333 1
4.8%

Cliente_18
Real number (ℝ)

High correlation  Unique  Zeros 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.028095
Minimum0
Maximum31.866667
Zeros1
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:59:17.977384image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.49
Q113.591667
median14.931667
Q316.181667
95-th percentile21.363333
Maximum31.866667
Range31.866667
Interquartile range (IQR)2.59

Descriptive statistics

Standard deviation5.818002
Coefficient of variation (CV)0.38714167
Kurtosis4.487874
Mean15.028095
Median Absolute Deviation (MAD)1.34
Skewness0.4005113
Sum315.59
Variance33.849147
MonotonicityNot monotonic
2024-11-13T18:59:18.094827image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
15.105 1
 
4.8%
14.80333333 1
 
4.8%
16.18166667 1
 
4.8%
15.58 1
 
4.8%
13.87166667 1
 
4.8%
15.38666667 1
 
4.8%
14.93166667 1
 
4.8%
15.53333333 1
 
4.8%
17.12666667 1
 
4.8%
10.88666667 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
0 1
4.8%
9.49 1
4.8%
10.115 1
4.8%
10.88666667 1
4.8%
12.37333333 1
4.8%
13.59166667 1
4.8%
13.87166667 1
4.8%
13.95333333 1
4.8%
14.80166667 1
4.8%
14.80333333 1
4.8%
ValueCountFrequency (%)
31.86666667 1
4.8%
21.36333333 1
4.8%
19.87166667 1
4.8%
18.75666667 1
4.8%
17.12666667 1
4.8%
16.18166667 1
4.8%
15.58 1
4.8%
15.53333333 1
4.8%
15.38666667 1
4.8%
15.105 1
4.8%

Cliente_19
Real number (ℝ)

High correlation  Unique  Zeros 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.440079
Minimum0
Maximum30.111667
Zeros1
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:59:18.208603image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13.023333
Q119.335
median22.341667
Q323.855
95-th percentile25.878333
Maximum30.111667
Range30.111667
Interquartile range (IQR)4.52

Descriptive statistics

Standard deviation6.2426518
Coefficient of variation (CV)0.30541231
Kurtosis5.0179455
Mean20.440079
Median Absolute Deviation (MAD)2.1333333
Skewness-1.8094253
Sum429.24167
Variance38.970701
MonotonicityNot monotonic
2024-11-13T18:59:18.323787image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
23.855 1
 
4.8%
14.235 1
 
4.8%
13.02333333 1
 
4.8%
24.32833333 1
 
4.8%
22.62 1
 
4.8%
23.87666667 1
 
4.8%
14.36333333 1
 
4.8%
20.25 1
 
4.8%
25.875 1
 
4.8%
20.20833333 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
0 1
4.8%
13.02333333 1
4.8%
14.235 1
4.8%
14.36333333 1
4.8%
18.24 1
4.8%
19.335 1
4.8%
19.87166667 1
4.8%
20.20833333 1
4.8%
20.25 1
4.8%
21.12166667 1
4.8%
ValueCountFrequency (%)
30.11166667 1
4.8%
25.87833333 1
4.8%
25.875 1
4.8%
24.32833333 1
4.8%
23.87666667 1
4.8%
23.855 1
4.8%
23.79833333 1
4.8%
23.55 1
4.8%
22.62 1
4.8%
22.35833333 1
4.8%

Cliente_20
Real number (ℝ)

High correlation  Unique  Zeros 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.705238
Minimum0
Maximum32.211667
Zeros1
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:59:18.435569image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17.02
Q121.898333
median24.42
Q328.093333
95-th percentile31.866667
Maximum32.211667
Range32.211667
Interquartile range (IQR)6.195

Descriptive statistics

Standard deviation6.8967242
Coefficient of variation (CV)0.29093672
Kurtosis6.436588
Mean23.705238
Median Absolute Deviation (MAD)3.2266667
Skewness-2.0244417
Sum497.81
Variance47.564805
MonotonicityNot monotonic
2024-11-13T18:59:18.553849image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
23.7 1
 
4.8%
21.90833333 1
 
4.8%
18.08 1
 
4.8%
23.03 1
 
4.8%
28.09333333 1
 
4.8%
21.89833333 1
 
4.8%
21.19333333 1
 
4.8%
30.10166667 1
 
4.8%
25.26666667 1
 
4.8%
26.28333333 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
0 1
4.8%
17.02 1
4.8%
18.08 1
4.8%
19.16333333 1
4.8%
21.19333333 1
4.8%
21.89833333 1
4.8%
21.90833333 1
4.8%
23.03 1
4.8%
23.7 1
4.8%
23.97333333 1
4.8%
ValueCountFrequency (%)
32.21166667 1
4.8%
31.86666667 1
4.8%
30.10166667 1
4.8%
29.705 1
4.8%
28.98166667 1
4.8%
28.09333333 1
4.8%
26.28333333 1
4.8%
25.87833333 1
4.8%
25.26666667 1
4.8%
25.035 1
4.8%

Almacén
Real number (ℝ)

High correlation  Unique  Zeros 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.78873
Minimum0
Maximum23.798333
Zeros1
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:59:18.673984image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.8416667
Q17.4
median11.388333
Q319.73
95-th percentile23.618333
Maximum23.798333
Range23.798333
Interquartile range (IQR)12.33

Descriptive statistics

Standard deviation7.2046626
Coefficient of variation (CV)0.56336028
Kurtosis-1.186933
Mean12.78873
Median Absolute Deviation (MAD)5.6316667
Skewness-0.0071863527
Sum268.56333
Variance51.907163
MonotonicityNot monotonic
2024-11-13T18:59:18.786682image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
6.905 1
 
4.8%
20.38166667 1
 
4.8%
20.87333333 1
 
4.8%
7.4 1
 
4.8%
7.938333333 1
 
4.8%
6.268333333 1
 
4.8%
20.51 1
 
4.8%
23.61833333 1
 
4.8%
1.841666667 1
 
4.8%
11.38833333 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
0 1
4.8%
1.841666667 1
4.8%
5.476666667 1
4.8%
6.268333333 1
4.8%
6.905 1
4.8%
7.4 1
4.8%
7.938333333 1
4.8%
8.408333333 1
4.8%
8.538333333 1
4.8%
10.94833333 1
4.8%
ValueCountFrequency (%)
23.79833333 1
4.8%
23.61833333 1
4.8%
20.87333333 1
4.8%
20.51 1
4.8%
20.38166667 1
4.8%
19.73 1
4.8%
18.75666667 1
4.8%
17.02 1
4.8%
15.12 1
4.8%
13.64166667 1
4.8%

Interactions

2024-11-13T18:59:11.320087image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:34.463927image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:36.481639image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:38.381950image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:40.245766image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:41.967270image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:43.761006image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:45.484005image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:47.290124image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:49.047208image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:50.775825image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:52.600738image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:54.344766image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:56.293741image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:58.053823image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:59.890995image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:01.844828image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:03.637866image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:05.628513image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:07.462312image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:09.443718image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:11.414141image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:34.562434image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:36.560525image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:38.467634image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:40.327206image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:42.052031image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:43.844975image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:45.569892image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:47.378438image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:49.130404image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:50.855939image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:52.680812image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:54.440899image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:56.387029image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:58.136852image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:59.973838image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:01.931342image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:03.721051image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:05.718101image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:07.554452image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:09.542731image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:11.499288image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:34.681481image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:36.659333image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:38.554459image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:40.406391image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:42.132617image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:43.922252image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:45.648499image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:47.457623image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:49.209872image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:50.933897image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:52.780792image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:54.525087image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:56.466085image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:58.223868image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:00.068213image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:02.022412image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:03.942231image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:05.798715image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:07.638245image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:09.634773image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:11.585793image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:34.786599image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:36.757980image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:38.631971image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:40.488998image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:42.214974image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:44.001285image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:45.727484image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:47.537612image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:49.294751image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:51.112779image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:52.864531image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:54.607625image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:56.545194image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:58.310686image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:00.154105image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:02.106179image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:04.026885image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:05.883956image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:07.734071image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:09.718905image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:11.664458image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:34.889498image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:36.858475image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:38.834020image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:40.569655image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:42.295105image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:44.080048image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:45.803961image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:47.616901image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:49.372455image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:51.189357image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:52.944069image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:54.689962image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:56.628644image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:58.396973image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:00.237077image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:02.187867image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:04.121284image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:05.974644image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:07.825813image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:09.803905image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:11.751790image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:34.983981image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:36.963034image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:38.920934image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:40.647502image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:42.372912image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:44.161176image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:45.889653image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:47.697399image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:49.452227image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:51.269989image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:53.030846image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:54.775105image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:56.708477image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:58.481422image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:00.321605image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:02.274629image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:04.206434image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:06.056667image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:07.919059image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:09.895078image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:11.837294image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:35.099539image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:37.065624image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:39.009125image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:40.727720image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:42.453594image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:44.239629image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:45.969171image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:47.776966image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:49.530048image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:51.347246image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:53.110393image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:54.858651image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:56.787955image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:58.560239image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:00.402912image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:02.367717image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:04.290960image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:06.139679image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:08.001226image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:09.996033image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:11.917911image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
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2024-11-13T18:58:53.928118image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:55.857505image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:57.651613image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:59.381154image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:01.370454image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:03.217808image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:05.186737image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:07.026238image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:09.001240image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:10.863927image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:12.842989image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:36.160256image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:38.024182image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:39.925268image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:41.649078image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:43.447104image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:45.148551image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:46.872566image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:48.696142image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:50.441244image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:52.261788image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:54.015599image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:55.947825image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:57.732936image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:59.567982image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:01.469926image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:03.301691image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:05.278364image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:07.118292image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:09.086837image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:10.969932image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:12.932426image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:36.242234image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:38.114401image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:40.004453image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:41.730148image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:43.529042image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:45.234946image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:47.051570image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:48.781930image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:50.524430image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:52.354045image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:54.098100image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:56.034025image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:57.814048image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:59.645486image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:01.572409image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:03.393039image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:05.371009image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:07.201952image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:09.174404image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:11.064586image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:13.030953image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:36.323596image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:38.199941image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:40.090129image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:41.811287image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:43.607993image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:45.322434image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:47.132609image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:48.870412image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:50.613679image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:52.440002image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:54.180888image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:56.119891image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:57.896140image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:59.727172image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:01.661463image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:03.476060image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:05.465867image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:07.293036image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:09.264697image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:11.151021image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:13.116909image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:36.406725image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:38.294623image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:40.171793image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:41.893708image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:43.687949image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:45.410608image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:47.215599image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:48.957043image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:50.698661image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:52.522087image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:54.263838image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:56.210947image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:57.977671image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:59.812351image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:01.753808image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:03.564015image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:05.551887image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:07.382751image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:09.354974image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:59:11.233970image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Correlations

2024-11-13T18:59:18.893696image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
AlmacénCliente_1Cliente_10Cliente_11Cliente_12Cliente_13Cliente_14Cliente_15Cliente_16Cliente_17Cliente_18Cliente_19Cliente_2Cliente_20Cliente_3Cliente_4Cliente_5Cliente_6Cliente_7Cliente_8Cliente_9
Almacén1.0000.8360.4710.8660.4710.0290.376-0.0560.6620.814-0.022-0.682-0.4090.173-0.3090.8100.2780.679-0.382-0.3970.935
Cliente_10.8361.0000.8180.9000.6870.3820.5430.1900.9130.6940.251-0.434-0.0090.116-0.1240.9810.2430.776-0.078-0.1340.816
Cliente_100.4710.8181.0000.6920.8740.5800.5510.5200.9430.4160.632-0.0210.333-0.0530.1040.8320.0640.5470.2680.2760.504
Cliente_110.8660.9000.6921.0000.7180.1150.5140.2590.7850.8500.316-0.399-0.186-0.026-0.1600.8600.3950.663-0.059-0.0210.903
Cliente_120.4710.6870.8740.7181.0000.3050.5430.6380.7850.4850.8090.0040.152-0.3380.0530.7000.1540.4330.2450.4810.560
Cliente_130.0290.3820.5800.1150.3051.0000.2450.2170.539-0.2090.3460.3360.7970.4580.5130.453-0.0540.4110.513-0.0570.039
Cliente_140.3760.5430.5510.5140.5430.2451.0000.5490.6040.5560.396-0.2670.000-0.254-0.1990.5250.1880.3000.2100.1500.401
Cliente_15-0.0560.1900.5200.2590.6380.2170.5491.0000.3660.1600.8130.2280.155-0.4840.0040.2130.245-0.0750.4170.6920.079
Cliente_160.6620.9130.9430.7850.7850.5390.6040.3661.0000.5590.420-0.2110.1940.065-0.0330.9280.1490.6520.1230.0460.652
Cliente_170.8140.6940.4160.8500.485-0.2090.5560.1600.5591.0000.092-0.612-0.497-0.225-0.4010.6330.4170.471-0.253-0.0830.860
Cliente_18-0.0220.2510.6320.3160.8090.3460.3960.8130.4200.0921.0000.3790.370-0.4550.2180.275-0.0290.0200.5340.7370.114
Cliente_19-0.682-0.434-0.021-0.3990.0040.336-0.2670.228-0.211-0.6120.3791.0000.764-0.0380.564-0.397-0.063-0.3030.6320.516-0.542
Cliente_2-0.409-0.0090.333-0.1860.1520.7970.0000.1550.194-0.4970.3700.7641.0000.2290.6850.035-0.1530.0640.7230.257-0.317
Cliente_200.1730.116-0.053-0.026-0.3380.458-0.254-0.4840.065-0.225-0.455-0.0380.2291.0000.3230.129-0.0090.3370.010-0.6870.023
Cliente_3-0.309-0.1240.104-0.1600.0530.513-0.1990.004-0.033-0.4010.2180.5640.6850.3231.000-0.048-0.0320.0860.6310.161-0.157
Cliente_40.8100.9810.8320.8600.7000.4530.5250.2130.9280.6330.275-0.3970.0350.129-0.0481.0000.2370.790-0.054-0.1310.799
Cliente_50.2780.2430.0640.3950.154-0.0540.1880.2450.1490.417-0.029-0.063-0.153-0.009-0.0320.2371.0000.4220.0040.0590.458
Cliente_60.6790.7760.5470.6630.4330.4110.300-0.0750.6520.4710.020-0.3030.0640.3370.0860.7900.4221.000-0.013-0.3230.719
Cliente_7-0.382-0.0780.268-0.0590.2450.5130.2100.4170.123-0.2530.5340.6320.7230.0100.631-0.0540.004-0.0131.0000.510-0.178
Cliente_8-0.397-0.1340.276-0.0210.481-0.0570.1500.6920.046-0.0830.7370.5160.257-0.6870.161-0.1310.059-0.3230.5101.000-0.189
Cliente_90.9350.8160.5040.9030.5600.0390.4010.0790.6520.8600.114-0.542-0.3170.023-0.1570.7990.4580.719-0.178-0.1891.000

Missing values

2024-11-13T18:59:13.271955image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-11-13T18:59:13.588621image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Cliente_1Cliente_2Cliente_3Cliente_4Cliente_5Cliente_6Cliente_7Cliente_8Cliente_9Cliente_10Cliente_11Cliente_12Cliente_13Cliente_14Cliente_15Cliente_16Cliente_17Cliente_18Cliente_19Cliente_20Almacén
00.00000015.73166719.6516672.5433337.5500003.76000015.83833322.3883338.5633337.1850004.90333310.02833312.3366675.09833317.5250002.94333315.54833315.10500023.85500023.7000006.905000
115.7316670.0000007.50500015.79833317.24166717.3166671.24833320.70000021.32500013.50333318.17000014.4233336.69500015.89166720.06166714.02333326.15333314.80333314.23500021.90833320.381667
219.6516677.5050000.00000019.2850000.0000000.0000000.00000022.07666719.98166717.37833319.54833315.80000011.54166717.27000020.40500018.50000027.53166716.18166713.02333318.08000020.873333
32.54333315.79833319.2850000.0000008.5333331.87833316.52166722.8633337.1650007.0133335.98666710.50166710.7683336.18166718.0000002.46500016.54666715.58000024.32833323.0300007.400000
47.55000017.2416670.0000008.5333330.0000009.7116670.0000000.0000000.00000011.0583335.1200008.79333318.5550007.39166716.29166710.7383339.99833313.87166722.62000028.0933337.938333
53.76000017.3166670.0000001.8783339.7116670.00000017.06833322.6683336.0333338.2816676.23333310.30833311.3150007.03833317.8066673.73333316.24000015.38666723.87666721.8983336.268333
615.8383331.2483330.00000016.5216670.00000017.0683330.00000020.82666720.98833313.63166718.29833314.5500000.0000000.0000000.00000014.15000026.28166714.93166714.36333321.19333320.510000
722.38833320.70000022.07666722.8633330.00000022.66833320.8266670.00000025.13333316.50500020.51000015.50333320.85000018.23166710.55833318.38000022.96333315.53333320.25000030.10166723.618333
88.56333321.32500019.9816677.1650000.0000006.03333320.98833325.1333330.00000013.9766676.81500012.04833315.1733339.08666719.5466679.42833313.02500017.12666725.87500025.2666671.841667
97.18500013.50333317.3783337.01333311.0583338.28166713.63166716.50500013.9766670.0000009.6933335.41166710.2750000.00000013.8800000.00000018.62333310.88666720.20833326.28333311.388333
Cliente_1Cliente_2Cliente_3Cliente_4Cliente_5Cliente_6Cliente_7Cliente_8Cliente_9Cliente_10Cliente_11Cliente_12Cliente_13Cliente_14Cliente_15Cliente_16Cliente_17Cliente_18Cliente_19Cliente_20Almacén
1110.02833314.42333315.80000010.5016678.79333310.30833314.55000015.50333312.0483335.4116677.2950000.00000012.9733337.76500010.4350008.22000018.0266679.49000018.24000028.98166713.641667
1212.3366676.69500011.54166710.76833318.55500011.3150000.00000020.85000015.17333310.27500014.58666712.9733330.00000013.83833317.4950008.76000023.76333313.95333319.33500019.16333315.120000
135.09833315.89166717.2700006.1816677.3916677.0383330.00000018.2316679.0866670.0000003.6416677.76500013.8383330.0000000.0000000.0000000.00000013.59166722.34166725.0350008.538333
1417.52500020.06166720.40500018.00000016.29166717.8066670.00000010.55833319.54666713.88000014.79333310.43500017.4950000.0000000.00000016.26166720.20666710.11500022.35833332.21166719.730000
152.94333314.02333318.5000002.46500010.7383333.73333314.15000018.3800009.4283330.0000006.9900008.2200008.7600000.00000016.2616670.00000017.05166714.80166723.55000024.4200008.408333
1615.54833326.15333327.53166716.5466679.99833316.24000026.28166722.96333313.02500018.62333313.40000018.02666723.7633330.00000020.20666717.0516670.00000021.36333330.11166729.70500010.948333
1715.10500014.80333316.18166715.58000013.87166715.38666714.93166715.53333317.12666710.88666712.3733339.49000013.95333313.59166710.11500014.80166721.3633330.00000019.87166731.86666718.756667
1823.85500014.23500013.02333324.32833322.62000023.87666714.36333320.25000025.87500020.20833321.12166718.24000019.33500022.34166722.35833323.55000030.11166719.8716670.00000025.87833323.798333
1923.70000021.90833318.08000023.03000028.09333321.89833321.19333330.10166725.26666726.28333323.97333328.98166719.16333325.03500032.21166724.42000029.70500031.86666725.8783330.00000017.020000
206.90500020.38166720.8733337.4000007.9383336.26833320.51000023.6183331.84166711.3883335.47666713.64166715.1200008.53833319.7300008.40833310.94833318.75666723.79833317.0200000.000000